Stimulation-induced ectopicity and propagation windows in model damaged axons
Bibliographic record
Abstract
Neural tissue injuries render voltage-gated Na channels (Nav) leaky, thereby altering excitability, disrupting propagation and causing neuropathic pain related ectopic activity [ 1 ]. In both recombinant systems and native excitable membranes, membrane damage causes the kinetically-coupled activation and inactivation processes of Nav channels to undergo hyperpolarizing shifts [ 2 ]. This damage-intensity dependent change, now called [ 3 ] coupled left-shift (CLS), yields a persistent or “subthreshold” Nav window conductance. Previous simulation work involving various degrees of mild CLS has focused on individual nodes of Ranvier or simple propagation models [ 3 – 5 ], leaving open an important question: does mild-injury (small CLS values, pumps functioning well) render propagation-competent but still quiescent axons vulnerable to further impairments as the system attempts to cope with its normal excitatory inputs? We probed this incipient diffuse axonal injury scenario using a 10-node myelinated axon model with dynamic ion gradients and Nernst potentials. Fully restabilized axons with mild damage, while they remain quiescent in the absence of stimulation, can abruptly switch behavior after receiving normal impulse traffic from upstream neurons. Because incoming action potentials stress Na and K gradients, thereby altering spike thresholds, the damaged nodes of Ranvier can become ectopic signal generators (“ectopic nodes”), emitting neuropathic pain-like (or epileptiform) barrages of impulses. Comparable changes could contribute to diverse acquired sodium channelopathies [ 6 ] and to the neuropathic amplification of normally benign sensory inputs [ 7 ]. Also, and perhaps counter-intuitively, more intensely damaged sites firing ectopically can be dominated by incoming high-frequency impulse traffic, enabling a “propagation window” of finite lifetime. This intermittent “propagation window” is a robust phenomenon, occurring despite noise, large jitter and the presence of several consecutive ectopic nodes. Complex input spike patterns then propagate with good fidelity as long as their frequencies exceed the ectopic frequency. The faithful propagation of such impulse trains through a damaged zone is likely to complicate diagnosis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".